We are seeking a highly skilled full stack Software Engineer with deep expertise in .NET development and data-driven applications to join our engineering team. In this role, you will design, develop, and maintain enterprise solutions that support Agilent's scientific instruments, laboratory management systems, and business intelligence initiatives.
The ideal candidate combines strong software engineering fundamentals with hands-on experience working with large and complex datasets. You will leverage modern data platforms, cloud technologies, and analytics tools to build scalable applications, data pipelines, and dashboards that drive informed business decisions and deliver value to customers.
Key Responsibilities
- Design, develop, and maintain enterprise applications using .NET Core/.NET Framework and AWS services.
- Build scalable and secure APIs, backend services, and data-driven applications.
- Develop responsive user interfaces using Angular, TypeScript, HTML, and CSS.
- Analyze, process, and manage large and complex datasets from multiple data sources.
- Design and implement data models, ETL processes, and integrations that ensure data quality, reliability, and performance.
- Leverage modern data platforms and analytics solutions to generate actionable business insights and support organizational objectives.
- Write clean, maintainable, well-documented, and thoroughly tested code.
- Participate in code reviews and contribute to engineering best practices.
- Collaborate with product owners, architects, QA engineers, and other stakeholders to deliver high-quality solutions.
- Support CI/CD pipelines, automated deployments, and cloud-native development practices.
- Troubleshoot and resolve software defects, data issues, and production incidents.
Required Qualifications
- 5+ years of professional software development experience.
- Strong proficiency in C#, .NET Framework, and .NET Core.
- Strong experience designing and developing data-centric applications.
- Experience with enterprise databases such as SQL Server, PostgreSQL, or Oracle, including schema design, query optimization, and performance tuning.
- Advanced SQL skills and experience working with large datasets.
- Hands-on experience with ETL and data integration tools such as SSIS, AWS Glue, or similar technologies.
- Experience building and maintaining reporting solutions using SSRS, Power BI, QuickSight, or comparable analytics platforms.
- Experience with AWS services such as EC2, S3, Lambda, ECS, and cloud-based data solutions.
- Proficiency with modern web development frameworks.
- Experience developing and consuming RESTful APIs.
- Strong understanding of software design patterns, object-oriented design, and best practices.
- Experience with source control systems such as Git.
- Excellent problem-solving, analytical, and communication skills.
Preferred Qualifications
- Experience with microservices architecture and domain-driven design.
- Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience implementing CI/CD pipelines and DevOps practices.
- Experience with NGRX, RxJS, NX, and Micro-Frontend architectures.
- Exposure to machine learning, predictive analytics, or AI-driven solutions. Familiarity with AI assisted coding is a plus.
- Familiarity with Ruby on Rails is a plus.
- Experience working in Agile/Scrum environments.
Technical Skills
Languages & Frameworks
- C#, .NET Framework, .NET Core
- Web development framework - Vue, Angular
- SQL
Cloud & Data Platforms
- AWS (EC2, S3, Lambda, ECS, Glue)
- Data Warehousing and ETL Technologies
Databases
- PostgreSQL
- SQL Server
- Oracle
Analytics & Reporting
- SSRS
- Power BI
- Amazon QuickSight
Tools
- Visual Studio
- VS Code
- Git
- Jira
Testing & Quality
- Unit Testing
- Integration Testing
- Automated Testing Frameworks
Architecture
- REST APIs
- GraphQL
- Microservices
- Event-Driven Architecture
- Service-Oriented Architecture (SOA)
What We Are Looking For
The ideal candidate is a software engineer who is equally comfortable writing high-quality .NET code and working with complex data ecosystems. They possess strong analytical skills, understand how to transform data into business value, and can develop scalable solutions that support both operational applications and strategic decision-making.
Additional Details
La fourchette salariale au Canada de ce poste est de 91,661.00$ à 161,700.00$ CA par an, et le titulaire est admissible à des primes, à des actions et à des avantages sociaux. Nos fourchettes salariales sont déterminées en fonction du rôle, du niveau et de l’emplacement. À l’intérieur de la fourchette, la rémunération individuelle est déterminée par le lieu de travail et d’autres facteurs, notamment les compétences liées à l’emploi, l’expérience et les études ou la formation pertinentes. Au cours du processus d’embauche, un recruteur peut fournir des renseignements sur l’échelle salariale particulière d’un lieu de travail donné. Vous trouverez des renseignements complémentaires à https://careers.agilent.com/locations/americas/canada.This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least September 18, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $116,800.00 - $219,000.00/yr USD in the US, or $91,661.00 - $161,700.00/yr CAD in Canada, plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email [email protected] or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: 10% of the TimeShift: DayDuration: No End DateJob Function: R&DSkills Required
- 5+ years of professional software development experience
- Strong proficiency in C#, .NET Framework, and .NET Core
- Experience designing and developing data-centric applications
- Experience with SQL Server, PostgreSQL, or Oracle, including schema design, query optimization, and performance tuning
- Advanced SQL skills and experience with large datasets
- Hands-on experience with ETL and data integration tools such as SSIS, AWS Glue, or similar
- Experience with SSRS, Power BI, QuickSight, or comparable analytics platforms
- Experience with AWS services such as EC2, S3, Lambda, ECS, and cloud-based data solutions
- Proficiency with modern web development frameworks
- Experience developing and consuming RESTful APIs
- Strong understanding of software design patterns, object-oriented design, and best practices
- Experience with source control systems such as Git
- Excellent problem-solving, analytical, and communication skills
- Experience with microservices architecture and domain-driven design
- Familiarity with Docker and Kubernetes
- Experience implementing CI/CD pipelines and DevOps practices
- Experience with NGRX, RxJS, NX, and micro-frontend architectures
- Exposure to machine learning, predictive analytics, or AI-driven solutions
- Familiarity with AI-assisted coding
- Familiarity with Ruby on Rails
- Experience working in Agile/Scrum environments
Agilent Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Agilent Technologies and has not been reviewed or approved by Agilent Technologies.
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Retirement Support — The core U.S. package highlights a generous 401(k) match as a strength. Retirement programs are positioned as competitive within the company’s total rewards.
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Equity Value & Accessibility — An Employee Stock Purchase Plan at a discount provides accessible equity and augments total compensation. Ownership opportunities are presented as a notable advantage alongside retirement benefits.
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Leave & Time Off Breadth — Flexible Time Off, company holidays, a personal holiday, and paid volunteer time create a broad leave offering. Time off can accrue into multiple weeks in the first year, supporting flexibility.
Agilent Technologies Insights
What We Do
Analytical scientists and clinical researchers worldwide rely on Agilent to help fulfill their most complex laboratory demands. Our instruments, software, services and consumables address the full range of scientific and laboratory management needs—so our customers can do what they do best: improve the world around us. Whether a laboratory is engaged in environmental testing, academic research, medical diagnostics, pharmaceuticals, petrochemicals or food testing, Agilent provides laboratory solutions to meet their full spectrum of needs. We work closely with customers to help address global trends that impact human health and the environment, and to anticipate future scientific needs. Our solutions improve the efficiency of the entire laboratory, from sample prep to data interpretation and management. Customers trust Agilent for solutions that enable insights...for a better world.
